Tim Sonnekalb

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Security Analysis

Energy Consumption

Top Venues

Softwaretechnik-Trends

Publications

Badr-Eddine Bouhlal, Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust
User-agent as a Cyber Intrusion Artifact: Detection of APT Activity using minimal Anomalies on the User-agent String Traffic (short paper). ZEUS (2024)
Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Thomas S. Heinze, Lynn von Kurnatowski, Andreas Schreiber, Patrick Mäder
A Static Analysis Platform for Investigating Security Trends in Repositories. SVM (2023)
Jonathan Elkobi, Bernd Gruner, Tim Sonnekalb, Clemens-Alexander Brust
TIPICAL - Type Inference for Python In Critical Accuracy Level. CoRR (2023)
Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Lynn von Kurnatowski, Andreas Schreiber, Thomas S. Heinze, Patrick Mäder
A Static Analysis Platform for Investigating Security Trends in Repositories. CoRR (2023)
Jonathan Elkobi, Bernd Gruner, Tim Sonnekalb, Clemens-Alexander Brust
TIPICAL - Type Inference for Python In Critical Accuracy Level. SERA (2023)
Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System. MSR (2023)
Clemens-Alexander Brust, Tim Sonnekalb, Bernd Gruner
ROMEO: A binary vulnerability detection dataset for exploring Juliet through the lens of assembly language. Comput. Secur. 128 (2023)
Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System. CoRR (2022)
Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder
Generalizability of Code Clone Detection on CodeBERT. ASE (2022)
Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder
Generalizability of Code Clone Detection on CodeBERT. CoRR (2022)
Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder
Deep security analysis of program code. Empir. Softw. Eng. 27 (1) (2022)
Andreas Schreiber, Tim Sonnekalb, Lynn von Kurnatowski
Towards Visual Analytics Dashboards for Provenance-driven Static Application Security Testing. VizSec (2021)
Clemens-Alexander Brust, Bernd Gruner, Tim Sonnekalb
ROMEO: Exploring Juliet through the Lens of Assembly Language. CoRR (2021)
Andreas Schreiber, Tim Sonnekalb, Thomas S. Heinze, Lynn von Kurnatowski, Jesús M. González-Barahona, Heather S. Packer
Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing Apps. IPAW (2021)
Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder
Erste Überlegungen zur Erklärbarkeit von Deep-Learning-Modellen für die Analyse von Quellcode. Softwaretechnik-Trends 40 (2) (2020)
Tim Sonnekalb
Machine-learning supported vulnerability detection in source code. ESEC/SIGSOFT FSE (2019)
Tim Sonnekalb, Sergio Lucia
Smart Hot Water Control with Learned Human Behavior for Minimal Energy Consumption. WF-IoT (2019)